Correction of motion artifacts in endoscopic optical coherence tomography and autofluorescence images based on azimuthal en face image registration

  • Abouei E
  • Lee A
  • Pahlevaninezhad H
  • et al.
15Citations
Citations of this article
21Readers
Mendeley users who have this article in their library.

Abstract

© 2017 The Authors. We present a method for the correction of motion artifacts present in two- A nd three-dimensional in vivo endoscopic images produced by rotary-pullback catheters. This method can correct for cardiac/breathing-based motion artifacts and catheter-based motion artifacts such as nonuniform rotational distortion (NURD). This method assumes that en face tissue imaging contains slowly varying structures that are roughly parallel to the pullback axis. The method reduces motion artifacts using a dynamic time warping solution through a cost matrix that measures similarities between adjacent frames in en face images. We optimize and demonstrate the suitability of this method using a real and simulated NURD phantom and in vivo endoscopic pulmonary optical coherence tomography and autofluorescence images. Qualitative and quantitative evaluations of the method show an enhancement of the image quality.

References Powered by Scopus

Identifying intestinal metaplasia at the squamocolumnar junction by using optical coherence tomography

100Citations
N/AReaders
Get full text

Optical coherence tomography: 15 years in cardiology

73Citations
N/AReaders
Get full text

Rotational distortion correction in endoscopic optical coherence tomography based on speckle decorrelation

64Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Correction of circumferential and longitudinal motion distortion in high-speed catheter/endoscope-based optical coherence tomography

15Citations
N/AReaders
Get full text

Submillimeter diameter rotary-pullback fiber-optic endoscope for narrowband red-green-blue reflectance, optical coherence tomography, and autofluorescence in vivo imaging

12Citations
N/AReaders
Get full text

A Deep Learning Method for Motion Artifact Correction in Intravascular Photoacoustic Image Sequence

9Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Abouei, E., Lee, A. M. D., Pahlevaninezhad, H., Hohert, G., Cua, M., Lane, P., … MacAulay, C. (2018). Correction of motion artifacts in endoscopic optical coherence tomography and autofluorescence images based on azimuthal en face image registration. Journal of Biomedical Optics, 23(01), 1. https://doi.org/10.1117/1.jbo.23.1.016004

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 11

79%

Researcher 3

21%

Readers' Discipline

Tooltip

Engineering 9

64%

Physics and Astronomy 2

14%

Medicine and Dentistry 2

14%

Computer Science 1

7%

Save time finding and organizing research with Mendeley

Sign up for free